Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks
文献类型：期刊论文
| 作者 | S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang |
| 刊名 | Optics Letters
 |
| 出版日期 | 2020 |
| 卷号 | 45期号:1页码:204-207 |
| ISSN号 | 0146-9592 |
| DOI | 10.1364/ol.45.000204 |
| 英文摘要 | In a structured-light system, lens distortion of the camera and projector is the main source of 3D measurement error. In this Letter, a new approach, to the best of our knowledge, of using deep neural networks to address this problem is proposed. The neural network consists of one input layer, five densely connected hidden layers, and one output layer. A ceramic plate with flatness less than 0.005 mm is used to acquire the training, validation, and test data sets for the network. It is shown that the measurement accuracy can be enhanced to 0.0165 mm in the RMS value by this technique, which is an improvement of 93.52%. It is also verified that the constructed neural network is with satisfactory repeatability. (C) 2019 Optical Society of America |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/64815]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang. Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks[J]. Optics Letters,2020,45(1):204-207. |
| APA | S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang.(2020).Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks.Optics Letters,45(1),204-207. |
| MLA | S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang."Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks".Optics Letters 45.1(2020):204-207. |
入库方式： OAI收割
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。